BIS AI / ML Data Engineer - DERM

Company: Incyte Corporation
Location: Chadds Ford
Posted on: July 1, 2025

Job Description:

Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in health care, and build sustainable value. The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules. Job Summary (Primary function) The Sr Manager, Business Information Services, AI/ML Engineer - Dermatology is part of the Business Operations team within Incyte’s US Dermatology Business Unit. This role will be a key contributor in expanding Incyte Dermatology’s AI/ML competency and will focus on designing, developing, and deploying cutting-edge machine learning and AI solutions. Reporting to the Associate Director, BIS, Data Engineering, the incumbent will focus on developing scalable machine learning, predictive analytics, and data engineering to build and productionize impactful models and workflows that drive informed decision-making across the Dermatology organization. This role will work closely with various business teams across the Dermatology business unit to translate business requirements into machine learning solutions, as well as independently manage end-to-end projects in a fast-paced environment. The ideal candidate will have a strong technical background with a comprehensive understanding of cloud platforms, data engineering experience with structured and unstructured data, and hand-on experience developing and deploying AI/ML models at scale. An ability to work independently, communicate effectively, and manage projects efficiently will be crucial to success in this role. Essential Functions of the Job (Key responsibilities) Key responsibilities of this role include designing, developing, and deploying data engineering and machine learning models to address complex problems across a variety of business teams within the Dermatology business unit. For machine learning, the primary objective is to achieve process and decision automation through building, training, and fine-tuning models while ensuring scalability, efficiency, and accuracy. Engineering responsibilities span multiple components: (1) data acquisition and preparation including collecting, cleaning, and preprocessing data, (2) performing feature engineering to optimize model performance, and (3) integration of models or workflows into existing Incyte business systems. Keeping abreast of the latest advancements in artificial intelligence and machine learning, as well as experimenting with new algorithms, frameworks, and tools, is an essential aspect of this role. Additionally active engagement in knowledge sharing and collaboration with cross-functional teams and business stakeholders—including Incyte’s Dermatology and Dermatology portfolios, IT, and Compliance—is essential for driving synergies and delivering streamlined AI/ML solutions. Specific areas of responsibilities Design, build, and deploy machine learning and predictive models to solve business problems. Develop, implement, and maintain data pipelines using Azure Data Factory, connecting with various data sources, including blob storage and SQL databases. Actively contribute to and enforce data security and governance through tools or platforms such as Purview and Databricks Use Databricks to analyze, process, and transform large datasets, preparing them for machine learning models and reporting. Work with large language models (LLMs) like ChatGPT to integrate conversational AI features, leveraging API programming for seamless interaction with applications. Design and implement data models and work with graph databases to support predictive analytics and complex data relationships. Create interactive dashboards and applications with R Shiny for data visualization and decision-making support. Develop and maintain APIs to enable efficient data communication between various systems and applications. Collaborate with stakeholders to understand business requirements, presenting insights and model outcomes in a clear, actionable manner. Independently manage project timelines, deliverables, and documentation, ensuring alignment with business objectives and regulatory standards. Qualifications (Minimal acceptable level of education, work experience, and competency) BS in Computer Science, Information Systems, Engineering, or a related field. Advanced degree or relevant certifications preferred. Must have a combined 3 – 5 years of hands-on experience building AI/ML solutions in industry and/or academia. Technical Skills: Demonstrated proficiency in Python for data processing, machine learning model development, and API integration required. Experience in R and R Shiny for creating interactive data visualizations and applications. Experience with Azure Cloud Platform and Azure Data Factory for creating data pipelines and connecting to various data storage systems, including blob storage. Strong knowledge of Databricks for data engineering and model training in distributed computing environments. Familiarity with large language models (LLMs), such as ChatGPT, for building conversational AI and natural language processing applications. Proven experience with SQL databases, including Azure Synapse, for complex querying, data integration, and reporting. Knowledge of graph databases and data modeling to support predictive analytics and relational data structures is a plus. Skilled in API programming to facilitate secure, efficient integration between systems. Competency in predictive modeling techniques and machine learning algorithms for real-world applications. Proficiency in data modeling techniques for structuring and organizing data to support analytics. Soft Skills: Strong communication skills with the ability to translate technical insights for non-technical stakeholders. Project management experience to independently handle multiple projects, ensuring timely and high-quality delivery. Ability to work independently, demonstrating self-motivation and a proactive approach to problem-solving. Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required. Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer. The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate. During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work. By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte’s data protection officer, and your supervisory authority (if applicable).

Keywords: Incyte Corporation, Vineland , BIS AI / ML Data Engineer - DERM, Engineering , Chadds Ford, New Jersey